t-STEP is a machine learning model predicting TEC at 30-second intervals with 91% accuracy during high solar activity, capturing irregularity dynamics during storms and outperforming IRI-2020 and LSTM baselines.
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t-STEP: An interpretable model for Total Electron Content predictions and irregularities estimations
t-STEP is a machine learning model predicting TEC at 30-second intervals with 91% accuracy during high solar activity, capturing irregularity dynamics during storms and outperforming IRI-2020 and LSTM baselines.